Hypergeometric Distribution - Revision history

Admin at 21:34, 9 March 2019

2019-03-09T21:34:01Z

← Older revision		Revision as of 21:34, 9 March 2019
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	Hypergeometric distribution counts the number of ways you can obtain particular target values when sampling from a population without replacement.		Hypergeometric distribution counts the number of ways you can obtain particular target values when sampling from a population without replacement.

	This describes many systems, most notably a deck of 52 [[Cards]] ~~and dealing~~ e.g. poker hands.		This describes many systems - most notably a deck of 52 [[Cards]] (e.g. poker hands).

	Hypergeometric distribution:		Hypergeometric distribution:

Admin at 21:33, 9 March 2019

2019-03-09T21:33:34Z

← Older revision		Revision as of 21:33, 9 March 2019
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	<math>		<math>
			\displaystyle{
	\dfrac{		\dfrac{
	\binom{K}{k} \binom{N-K}{n-k}		\binom{K}{k} \binom{N-K}{n-k}
	}{		}{
	\binom{N}{n}		\binom{N}{n}
			}
	}		}
	</math>		</math>

Admin at 21:33, 9 March 2019

2019-03-09T21:33:14Z

← Older revision		Revision as of 21:33, 9 March 2019
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	</math>		</math>

	~~wehere~~:		where:

	<math>		<math>
	\begin{align}		\begin{align}
	K &=& \mbox{~~Number of successful trials~~} \\		K &=& \mbox{Successes} \\
	N &=& \mbox{~~Population~~ size} \\		N &=& \mbox{Pop. size} \\
	k &=& \mbox{~~Number of targets for trials~~} \\		k &=& \mbox{Targets} \\
	n &=& \mbox{Sample size}		n &=& \mbox{Sample size}
	\end{align}		\end{align}

Admin at 21:31, 9 March 2019

2019-03-09T21:31:57Z

← Older revision		Revision as of 21:31, 9 March 2019
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	\begin{align}		\begin{align}
	K &=& \mbox{Number of successful trials} \\		K &=& \mbox{Number of successful trials} \\
	N &=& \mbox{~~Popullation~~ size} \\		N &=& \mbox{Population size} \\
	k &=& \mbox{Number of targets for trials} \\		k &=& \mbox{Number of targets for trials} \\
	n &=& \mbox{Sample size}		n &=& \mbox{Sample size}

Admin at 21:31, 9 March 2019

2019-03-09T21:31:49Z

← Older revision		Revision as of 21:31, 9 March 2019
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	</math>		</math>


			==Flags==

			{{CombinatoricsFlag}}

	[[Category:Math]]		[[Category:Math]]

Admin at 21:30, 9 March 2019

2019-03-09T21:30:18Z

← Older revision		Revision as of 21:30, 9 March 2019
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	\end{align}		\end{align}
	</math>		</math>


			[[Category:Math]]

Admin at 21:28, 9 March 2019

2019-03-09T21:28:18Z

← Older revision		Revision as of 21:28, 9 March 2019
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	K &=& \mbox{Number of successful trials} \\		K &=& \mbox{Number of successful trials} \\
	N &=& \mbox{Popullation size} \\		N &=& \mbox{Popullation size} \\
	k &=& \mbox{Number of targets ~~counting as success~~ for trials} \\		k &=& \mbox{Number of targets for trials} \\
	n &=& \mbox{Sample size}		n &=& \mbox{Sample size}
	\end{align}		\end{align}
	</math>		</math>

Admin at 21:27, 9 March 2019

2019-03-09T21:27:40Z

← Older revision		Revision as of 21:27, 9 March 2019
Line 2:		Line 2:

	This describes many systems, most notably a deck of 52 [[Cards]] and dealing e.g. poker hands.		This describes many systems, most notably a deck of 52 [[Cards]] and dealing e.g. poker hands.

			Hypergeometric distribution:

			<math>
			\dfrac{
			\binom{K}{k} \binom{N-K}{n-k}
			}{
			\binom{N}{n}
			}
			</math>

			wehere:

			<math>
			\begin{align}
			K &=& \mbox{Number of successful trials} \\
			N &=& \mbox{Popullation size} \\
			k &=& \mbox{Number of targets counting as success for trials} \\
			n &=& \mbox{Sample size}
			\end{align}
			</math>

Admin: Created page with "Hypergeometric distribution counts the number of ways you can obtain particular target values when sampling from a population without replacement. This describes many systems..."

2019-03-09T09:06:09Z

Created page with "Hypergeometric distribution counts the number of ways you can obtain particular target values when sampling from a population without replacement. This describes many systems..."

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Hypergeometric distribution counts the number of ways you can obtain particular target values when sampling from a population without replacement.

This describes many systems, most notably a deck of 52 [[Cards]] and dealing e.g. poker hands.